database private cloud wp 360048

7/28/2019 Database Private Cloud Wp 360048

1/18

Database Consolidation onto Private Clouds

An Oracle White Paper

October 2011

Database Consolidation onto Private

Clouds


2/18


Executive Overview........................................................................... 3

Cloud Overview and Considerations.................................................. 4

Business Drivers for Consolidating Databases onto a Private Cloud . 6

Steps to Database Consolidation onto a Private Cloud...................... 7

Models for Database Consolidation onto a Private Cloud .................. 9

Choosing the Appropriate Cloud Deployment Model ....................... 12

Building Private Cloud Infrastructures.............................................. 13

Oracle Technologies for Consolidating Databases on Private Clouds14

Conclusion ...................................................................................... 17


3/18


Executive OverviewCloud computing is a model for enabling convenient, on-demand network

access to a shared pool of configurable computing resources or sharedservices (e.g., networks, servers, storage, applications, and IT services). The

key benefits of cloud computing are reduced costs, reduced complexity,

improved quality of service, and increased flexibility when responding to

changes in workload.

In traditional models, business applications are bound to a particular

infrastructure, resulting in low efficiency, utilization, and flexibility. Cloud

computing technologies allow applications to be dynamically deployed onto the

most suitable infrastructure at runtime. The elastic nature of cloud computingallows applications to scale at lower cost without requiring fork-lift upgrades.

IT departments, which are under increasing pressure to provide computing

services at the lowest possible cost, can choose either public or private clouds

to meet these needs. However, driven by concerns over security, regulatory

compliance, control over quality of service, and long-term costs, many

customers choose internal private clouds.

Private clouds provide the same cost and flexibility benefits as public clouds,

but they also enable IT departments to control the quality of service delivered

to their users. In addition, private clouds allow IT departments to better secure

data and meet governance regulationsa major concern when storing data in

external, public clouds.

This paper describes how Oracle Database11gcan be successfully

consolidated onto a private cloud through several deployment models.

3


4/18


Cloud Overview and Considerations

According to the U.S. National Institute of Standards and Technology, cloud computing

consists of five essential characteristics, three distinct service models, and four deployment

models.

Essential Characteristics Service Models Deployment Models

On-Demand Self-Service Software-as-a-Service (SaaS) Public Cloud

Resource Pooling Platform-as-a-Service (PaaS) Private Cloud

Rapid Elasticity Infrastructure-as-a-Service (IaaS) Community Cloud

Measured Service Hybrid Cloud

Broad Network Access

Service Models

Software-as-a-Service

This term generally refers to applications that are delivered to end users over the Internet or

broad band access. There are hundreds of SaaS providers covering a wide variety of applications.

Oracle CRM On Demand, Salesforce.com, and Google Apps are examples of the SaaS model.

Infrastructure-as-a-Service

Refers to computing hardware (servers, storage, and network) delivered as a service. This

typically includes the associated software as well, including operating systems, virtualization,

clustering, and so on. Amazon Web Services, for example, offers their Elastic Compute Cloud

(EC2) for compute servers, SimpleDB for database, and Simple Storage Service (S3) for storage.

Platform-as-a-Service

This model conveys how an application development and deployment platform can be delivered

as a service to developers, allowing them to quickly build and deploy an SaaS application for end

users. These platforms typically include database and middleware, and are often specific to a

language or API. For example, Google AppEngine is based on Java and Python, EngineYard is

based on Ruby on Rails, and Force.com uses a proprietary variation of Java.

4
http:///reader/full/Salesforce.comhttp:///reader/full/Force.comhttp:///reader/full/Salesforce.comhttp:///reader/full/Force.com


5/18


Database Services on a Private Cloud

For database environments, the PaaS cloud model provides better IT services than the IaaS

model. The PaaS model provides enough resources in the cloud that databases can quickly get up

and running and still have enough latitude for users to create the applications they need.Additionally, central IT management, security, and efficiency are greatly enhanced through

consistency and economies of scale. Conversely, with the IaaS model, each tenant must build

most of the stack on their own, lengthening time to deployment and resulting in inconsistent

stacks that are harder to manage.

A private cloud is an efficient way to deliver database services because it enables IT departments

to consolidate servers, storage, and database workloads onto a shared hardware and software

infrastructure. Databases deployed on a private cloud offer compelling advantages in cost,

quality of service, and agility by providing on-demand access to database services in a self-service,

elastically scalable, and metered manner.

Private clouds are a better option than public clouds for many reasons. Public clouds typicallyprovide little or no availability or performance service-level agreements, and there are potential

data security risks. In contrast, private clouds enable IT departments to have complete control

over the performance and availability service levels they provide, and can easily enforce data

governance regulations and auditing policies.

5


6/18


Business Drivers for Consolidating Databases onto a Private Cloud

Four key business drivers typically motivate database consolidation onto a private cloud.

Reduced Cost

IT budgets are under constant scrutiny, so IT departments need solutions that reduce both

capital expense and operating expense without compromising key business requirements.

Consolidating shared resources effectively replaces siloed, underutilized infrastructures with a

shared resource pool, which lowers overall costs and increases resource utilization. Capital

expenditure can be reduced beyond simply shrinking server footprint by creating a higher

density of databases per server through multi-tenancy configurations. And operational

expenditure can be reduced by improving efficiency through automation and improved

management productivity.

Reduced Complexity

IT departments can simplify their environments by reducing the number of supported

configurations and services through rationalization, standardization, and consolidation. By

standardizing on a common set of building blocks, IT departments can easily deploy predefined

configurations and scale-out using modular components. One of the keys to reducing

complexity is centralized management: as the environment becomes more homogenous, it

becomes easier to manage. And having a central management hub keeps operational costs low

and further promotes the automation of routine tasks.

Increased Quality of Service

IT departments are not only trying to drive down costs, they are also looking for solutions that

will improve performance, availability, and security. In a private cloud, database performancecan be monitored and managed via shared Centers of Excellence. Databases also benefit from the

high availability built into the private cloud. And consolidation helps enforce a unified identity

and security infrastructure as part of standardized provisioning process.

Improved Agility

IT departments are increasingly looking to develop more agile and flexible environments that

will enable faster time to market and a rapid response to changing business requirements. This

will provide efficient rollout of new business strategies as well as the capability to quickly deploy

applications without a huge lag time due to infrastructure setup. The three key aspects of agility

are

Fast deployment. Building a private cloud infrastructure using standard hardware

components, software configurations, and tools enables an automated and simplified

deployment process.

6


7/18


Rapid provisioning. Resources in a cloud can be rapidly provisioned, often via self-service,

providing quicker application deployment. This reduces overall time in deploying production

applications, development platforms, and creating test bed configurations.

Resource elasticity. The ability to grow and shrink the capacity of any database, both in

terms of size and compute power, offers applications the flexibility to meet the dynamic

nature of business workloads.

Steps to Database Consolidation onto a Private Cloud

Building a private cloud requires the transformation and optimization of the IT infrastructure,

and that is typically executed in three steps: rationalization, architecture optimization, and

implementation of shared services.

Rationalization

IT rationalization determines the best use of IT services and reduces nonproductive redundancythroughout the enterprise. IT departments should rationalize their technology architecture by

standardizing their service portfolio and technology stack. Through standardization, the IT

environment becomes much more homogenous, which makes it easier to manage. It also reduces

costs and complexity and increases agility.

Architecture Optimization

All layers of the technology stack must support service-level objectives and growth

requirements. Scalability, availability, data security, and datacenter management are only as

strong as the weakest link. Balanced technology architectures employ virtualization,

consolidation, and management automation to meet business requirements. Virtualization, for

example, transforms the typical server-to-application silo model to a multi-tenancy model. The

key to virtualization is not necessarily the underlying technology, but rather the capability to

abstract resources requested by the business from resources fulfilled by IT.

Shared Services

IT departments can leverage shared services to reduce costs and meet the demands of their

business users, but there are many operational, security, organizational, and financial aspects of

shared services that must be managed to ensure effective adoption.

Consolidation is vital to shared services, as it allows IT to restructure resources by combining

multiple applications into a cohesive environment. Consolidation goes beyond hard cost savings;

it simplifies management, improves resource utilization, and streamlines conformity to securityand compliance standards. Therefore, the next item to consider is the level of consolidation that

can be achieved in a private cloud architecture.

Server Consolidation. Reduce the number of physical servers and consolidate databases onto

a smaller server footprint.

7


8/18


Storage Consolidation. Unify the storage pool through improved use of free space in a

virtual storage pool.

Database Consolidation. Reduce the number of operating system installations. Reducing

server footprint does not always provide the best ROI, but reducing the number of operatingsystems will improve overall manageability.

Schema Consolidation. Reduce the number of database instances through schema

consolidation. Separate databases are consolidated as schemas in a single database, reducing the

number of databases to manage and maintain.

Extreme Schema Consolidation. Merge the redundant databases that support business

intelligence or operational data store systems. By consolidating into a single data store, these

workloads benefit from the additional resources and scalability provided by the private cloud

infrastructure.

As shown in Figure 1, the

potential return oninvestment (ROI) increases as

the level of consolidation

onto a private cloud

increases. Cost savings,

management efficiency, and

improved resource utilization

increase as server, storage,

databases, schemas andFigure 1. Consolidation relation to return on investmentworkloads are consolidated.

8


9/18

Consolidation onto a Private Cloudp

led via virtualizatione creat ed from servers in thver s and VM guests , with density driven by physi ca l s erverWhen a database service is requested, the entires p ar t

lidation

n database deployment via VM templates or profi lesultiple database versions and configurations

sola tion at the VM guest leve lssly against databases deployed in VM guestsludethe number of operating systems or databases, thereforeting sys tem and database sprawl, which creat es a more complexe number of deployments increases

onto Private Cloud

Models for Database

This deployment model is ena olvirtual machine (VM) guests a a onemany relationship between se serverresources (CPU and memory). atingstack is buil t and provis ioned2) ,Databasesnstance

he VM gues t., in that it isesourceswevererver pool,then aleverage theded byiveon s

r imary dr ivers for adoptbutt s

provisioning ofresource

Most applications run seamlin

Virtualization doesnt reduc forencourages oper re complexenvironment to manage as t

Database Consolidatio

se rv er s ar e added to a s er ve r pe poo l. There is generallmany relat ionship between servers and VM guests, with density dr iven by physicalpe(il lustrated in FigurVM guest level.

databases that are instantiated in tScalabi li ty in this model i s verticaprovided by adding more vir tualhcannot span acros s servers in thel l resources ofloud cannot be brought to bearcanhigh availability capabilities provvirtualization technology such as

button database deployment via VM templates or profi l

Virtualization doesnt reduce the number of operating systems or databases, therncourages operating system and database sprawl , which creates a m


Models for Database Consolidation onto a Private Cloud

Consolidating databases onto private cloud is typically done in one of two ways: Infrastructure

Cloud or Database Cloud.

Infrastructure Cloud

This deployment model is ena led via virtualization: servers are added to a server p ol, and

irtual machine (VM) guests ar e created from servers in the pool. There is generally a one-to-

many relationship between ser ers and VM guests, with density driven by physical server

resources (CPU and memory). When a database service is requested, the entire operating system

stack is built and provisioned s part of VM guest creation.

In this model (illustrated in Figur 2), tenant

isolation is at the M guest level. Databases

deployed will generally be single-instance

databases that are instantiated in the VM guest.Scalability in this model is vertica , in that it is

provided by adding more virtual esources

(CPU or memory). VM guests, h wever,

cannot span across servers in the server pool,

meaning that the full resources of the private

cloud cannot be brought to bear n a

workload requirement. They can leverage theFigure 2. The infrastructure cloud/server cons lidation model

high availability capabilities provided by

irtualization technology such as ive

Migration or HA Restart.

The primary drivers for adopti ng this model include

Straightforward, push-butt n database deployment via VM templates or profiles

Support for provisioning of ultiple database versions and configurations

Excellent fault and resource solation at the VM guest level

Most applications run seaml ssly against databases deployed in VM guests

Deployment considerations in lude

irtualization doesnt reduc the number of operating systems or databases, therefore there isless actual consolidation and a lower return on investment

This model encourages oper ting system and database sprawl, which creates a more complex

environment to manage as t e number of deployments increases

9


10/18

forming as other deployment moell in virtualized environmentsz e o f th e b ig ge st s erv er in the poo l,across the pool

hine

ase deployments in vir tual pools using server cluster ingion

ble via named database services . In this deployment model ,ysica l servers that are clustered together in aon Clustersh server redundancy. Elast ic ity and scalabil ity is provided byserver pool (scal ing out) or by adding more physical resourcesca rd s to an ex isting node (

ase

nolidation density without incurringh increased storage and server util izationy virtualization layersd

onto Private Cloud

pe sivedatabases may not performScalability is limited to the s kloadscannot be scaled horizontallth orkloadmanagement on a s ingle ma

efers to data ingrovi red

By standardizing on a commo host one oraccess odel,atabase is provis ioned onto putilizing Oracle Real Applicat einherit high availability throu ided byadding additional nodes to the resourcessu ch as CPU, memory, o r I/

Data

igure 3)ed at th eevelInstanceanagermentan tnablestionl

r imary dr ivers for adoptHigh database to server con sprawlReduced server footprint wi higher

are not inhibited formanceAll applications are support orced


intedatabase wo

grain resource andto meet changing workloa

efers to database deployments in vir tual pools using server clusteh

yst em, any one server from a c lu st er canaccessible via named database services . In this deploymentrivateo r Oracle RAC One Nodinherit high availability through server redundancy. Elasticity and scalability is proadding additional nodes to the server poo l ( scaling out) or by adding more physicalintenant fault i so lation is proviervicefeatures such as

Caging, Database ResourceAutomatic Workload ManagQuali ty of Service provide teperformance isolation. Thiseff ic ient use of shared applicresources to meet service lev

onsolidation model includysteproviding

deliver higher pegrained workload management can be en


This model is not as high-pe forming as other deployment models, and I/O-intensive

databases may not perform ell in virtualized environments

Scalability is limited to the size of the biggest server in the pool, and database wo kloads

cannot be scaled horizontall across the pool

Resource management at the VM guest layer provides coarse-grain resource and orkload

management on a single mac hine, which limits ability to meet changing workloa

requirements

Database Cloud

A database cloud refers to data ase deployments in virtual pools using server cluste ing. There

are two ways to deploy: provis ion databases natively or provision a schema to a shared database.

Provision Databases Natively Database Consolidation

By standardizing on a commo operating s stem, any one server from a cluster can host one ormore database instances accessi ble via named database services. In this deployment odel, a

database is provisioned onto p ysical servers that are clustered together in a private cloud. By

utilizing Oracle Real Applicati on Clusters (Oracle RAC) or Oracle RAC One Node, databases

inherit high availability throu h server redundancy. Elasticity and scalability is pro ided by

adding additional nodes to the server pool (scaling out) or by adding more physical resources

such as CPU, memory, or I/O cards to an existing node (scaling up).

In this model (illustrated in Figure 3),

tenant fault isolation is provi ed at the

node or Oracle RAC service evel. Oracle

Database 11gfeatures such as Instance

Caging, Database Resource anager,Automatic Workload Manag ment, and

Quality of Service provide te ant

performance isolation. This enables

efficient use of shared application

resources to meet service level

Figure 3. The Database Cloud- Datab ase consolidation model requirements.

The primary drivers for adopti ng the operating system consolidation model include

High database to server cons olidation density without incurring operating s ste sprawl Reduced server footprint with increased storage and server utilization, providing a higher

return on investment-

Databases are not inhibited y virtualization layers, so they can deliver higher pe formance

All applications are supporte d, and fine-grained workload management can be en orced

10


11/18

ludenDatabase

tratedemas running a cros s one o r more se rver s in ae Real Application Clusters.

quests a databasea i s c reated, withorrespondinglication Clusterscalability acrossle, DW, E RPs w ith in ahs server resourcessolation isduality of Serviceloud resources arerformance andeven as th e

fce via aatabaserver, operating systemrovides the h ighest r eturn on iludengent schema naming standards, and schema consolidation isisions, therefore apltatabase 11acts

onto Private Cloud

inmm

Provis ion a Schema to a Share(illu lly consistsscand Orac

In th is model, when a tenan t rto be provis ioned, a new scheservice name. Orac le Real Approvides high availability and

loud. In th is examand CRM are dif fe rent schemconsolidated database, each wiice spanning acroloud. ResourceaWorkload Management andufficienthigh availability requirements, ation

Provisioning a database servead

By reducing the number of is modelbles dense consolidationin

commSome applications have stri tion isvulnerable to namespace col ired

imited resource, fa asOracleminimize these isolation im


, the consolidated database essentirivate

onsoli

reduces operat ing system and memory over

Some applications have str ingent schema naming standards, and schema consol idplication certification may be reqtechnologies sucfeatur



Standardization on a comm n operating system is required

Provision a Schema to a Share Database Schema Consolidation

In this deployment model (illustrated in Figure 4), the consolidated database essentially consists

of one or more application sch emas running across one or more servers in a private cloud, using

Oracle Database 11gand Oracl e Real Application Clusters.

In this model, when a tenant r quests a database

to be provisioned, a new sche a is created, with

its own set of tablespaces and corresponding

service name. Oracle Real App lication Clusters

provides high availability and calability across

the private cloud. In this exam le, DW, ERP,and CRM are different schema s within a

consolidated database, each wit h its own named

database service spanning acro s server resources

in the private cloud. Resource isolation is

provided at the service level, a d the Automatic

orkload Management and Q uality of Service

features ensure that sufficient cloud resources are

available to meet application performance and Figure 4. The Database Cloud - Schema consoli ation modelhigh availability requirements, even as the

workload changes.

Primary drivers for adopting of the database consolidation model include

Provisioning a database servi ce via a schema is extremely fast

Consolidation into a larger atabase reduces operating system and memory overhead

By reducing the number of server, operating system, and database deployments, t is model

enables dense consolidation rovides the highest return on investment


Standardization on a comm n operating system and database version is required

Some applications have strin gent schema naming standards, and schema consolid tion is

ulnerable to namespace coll isions, therefore application certification may be req ired

There is limited resource, fa lt, and security isolation; however, technologies suc as Oracle

Database Vault and Oracle atabase 11gs Quality of Service Management featur can

minimize these isolation im acts

11


12/18


Choosing the Appropriate Cloud Deployment Model

In a private cloud, a database appears as a database service that users can easily access to read or

write data and run their business applications. Users need not be concerned with management of

the consolidated private cloud infrastructure, but they will require stringent performance,

availability, and data security service levels. IT departments must choose the best deployment

model to meet both budgetary constraints and business application service levels. Consolidation

onto a private cloud using Oracle Database 11goffers a choice of deployment models. The table

below summarizes the capabilities and benefits of each model.

SERVER CONSOLIDATION DATABASE CONSOLIDATION SCHEMA CONSOLIDATION

IMPLEMENTATION Easy Easy Difficult

APPLICATION SUITABILITY Some All Some

ISOLATION Highest High Limited

AVAILABILITY High Highest Highest

SCALABILITY Limited Excellent Excellent

CONSOLIDATION DENSITY Low High Highest

RETURN ON INVESTMENT Low High Highest

Although the server consolidation model provides ease of migration and high levels of isolation,

it has performance limitations, lower availability, and the lowest return on investment. Database

cloud models provide higher levels of consolidation than an infrastructure cloud. More

importantly, an infrastructure cloud only consolidates servers and storage, while a database

cloud consolidates servers, storage, operating systems, database versions, and workloads, offering

a much higher return on investment.

12


13/18

Infrastrupriate consol idat ion model , the next i tem to consider is buildingstructure

, and consol idat ion phases

ce configurat ions can reduce the onus on ITnyd Solutions, which combine hardware and software intoested products tputing.SuperClusteran ide

ineine implementequired foratabase 11es servers,integratedtegrationly optimizedailabler than goingo n an dartments canata Databasetion onto a

onto Private Cloud

Build ing Private Clouthe appr r is buildingloud infr ces

This is the tradit ional approacrationalization, standardizatio er, storageand

tworkarchitectures. Validated refere ents todefine and configure systems. e you bth n.

Oracle offers several Engineer ntocomplete, integrated and fullydeployments for enterprise co atabaseAppliance, and Oracle SPAR atformOracle Database, and therefor uting.

Oracle Exadata Database MacOracle Exadata Database Macall the hardware and softwarenative deployments of Oracleloud. I t combistorage, and networks into onpackage, eliminating difficult iproblems. I t a lso provides higperformance capabilit ies not a. Raththe entire rationalizates imply implement Oracle ExaMachine for database consolid


the appropriate consol idat ion model , the next i tem to considepartments effectively have three cho

incluthe definit ion of the serv

an d nepartostill require significant installation and configurati

Oracle offers several Engineered Solutions, which combine hardware and softwarehat address the full r ange o f databasOraclesolut ions des igned to be optimal pcom


Building Private Clou Infrastructures

Once youve selected the appr priate consolidation model, the next item to consider is building

the physical private cloud infr structure. IT departments effectively have three choices.

Build Your Own

This is the traditional approac the IT department puts everything together, including the

rationalization, standardizatio , and consolidation phases; the definition of the server, storage,

and network architecture; and the selection of the deployment model.

Reference Configurations

This configuration consists of predefined and preconfigured server, storage, and n twork

architectures. Validated refere ce configurations can reduce the onus on IT depart ents to

define and configure systems. In fact, reference configurations can be superior to one you build

on your own, but typically th y still require significant installation and configurati n.

Oracle Engineered Solutions

Oracle offers several Engineere d Solutions, which combine hardware and software into

complete, integrated and fully tested products that address the full range of database

deployments for enterprise co puting. Oracle Exadata Database Machine, Oracle atabase

Appliance, and Oracle SPARC SuperCluster are solutions designed to be optimal platforms for

Oracle Database, and therefore an ideal platform for Private Database Cloud computing.

Oracle Exadata Database Mac ine

Oracle Exadata Database Mac ine implementsall the hardware and software equired for

native deployments of Oracle atabase 11g

onto a private cloud. It combi es servers,

storage, and networks into one integrated

package, eliminating difficult i tegration

problems. It also provides high ly optimized

performance capabilities not a ailable through

the other infrastructures. Rather than going

through the entire rationalization and

standardization process, IT de artments can

simply implement Oracle Exa ata DatabaseMachine for database consolid tion onto a

private cloud.

Figure 5. Oracle Exadata Database Machine X2-8

13


14/18


Oracle Database Appliance

The Oracle Database Appliance is a completeplug-n-go system that offers customers a fully

integrated system of software, servers, storageand networking in a single box, deliveringhigh availability database services for a widerange of home grown and packaged OLTPand Data Warehousing applications. OracleDatabase Appliance is pre-installed withOracle Linux and Oracle Appliance Managersoftware, saving time and money bysimplifying the deployment, maintenance,and support of highly available databasesolutions. The Oracle Database Appliance isthe perfect clustered database solution for

rapid deployment and maximum uptime.

Oracle SPARC SuperCluster

The Oracle SPARC SuperCluster delivershigh performance, availability, scalability andsecurity to a wide range of enterpriseapplications, including database, middlewareand Oracle and custom applications. An

optimized package of servers, storage andsoftware, SPARC SuperCluster integratesOracle Exadata and Oracle Exalogic ElasticCloud with SPARC T4-4 servers, ZFSStorage Appliance, InfiniBand I/O fabric, andOracle Solaris. With the support for bothSolaris 11 and Solaris 10, the opportunity tooffer cloud services for new and legacydatabase and application versions is acompelling differentiator.

Figure 6. Oracle Database Appliance

Figure 7. Oracle SPARC SuperCluster

14


15/18


Oracle Technologies for Consolidating Databases on PrivateClouds

Over the last decade and more, Oracle has introduced a variety of innovations that help IT

departments consolidate databases onto private clouds. For example, Oracle Real Application

Clusters enables server resources to be shared on a cluster, Oracle Automatic Storage

Management enables storage resources to be virtualized and shared, and the Database Resource

Manager and Instance Caging features in Oracle Database automate resource optimizationjust

to name a few. The innovation continues with Oracle Database 11gserver pooling, the Quality

of Service Management feature.

Oracle Real Application Clusters

Oracle Real Application Clusters supports the transparent deployment of databases across pools

of servers, providing fault tolerance from hardware failures or planned outages. Support is

provided for custom-developed online transaction processing (OLTP) and data warehouse

applications, as well as popular packaged products such as SAP, Oracles PeopleSoft, Oracles

Siebel, and Oracle E-Business Suite applications. Oracle RAC provides high availability for

databases by removing the single server as a single point of failure. If a node in a server pool fails,

Oracle Database continues to run on the remaining servers in the pool. Oracle Real Application

Clusters provides great flexibility for scaling databases across private cloud infrastructures. In

order to keep costs low, private clouds can be built on standardized, commodity-priced servers,

storage pools, and network components. When more processing power is needed, another servercan be added without taking users offline.

Oracle Automatic Storage Management

Oracle Automatic Storage Management provides file system and volume management

functionality for Oracle Database files. Oracle Automatic Storage Management is easier to

manage than conventional file systems, has the performance of raw volumes, and is tightly

integrated with Oracle Database 11g, forming the foundation of storage virtualization. In a

private cloud infrastructure, Oracle Automatic Storage Management simplifies storage

consolidation and provisioning, and provides an easy way to migrate existing databases to a

private cloud infrastructure. Oracle Automatic Storage Management also includes an innovative

rebalancing capability that distributes data evenly across all storage resources in the privatecloud, providing an even distribution of I/O for all databases consolidated on the storage pool.

Oracle Automatic Storage Management also provides high database availability with automatic

mirror reconstruction and resynchronization.

15


16/18


Diagnostic and Tuning Packs

Oracle Diagnostics Pack offers a comprehensive set of automatic performance diagnostics andmonitoring functionality built into the core database engine. Oracle Diagnostics Pack offers a

complete, cost-effective, and easy-to-use solution for managing the performance of Oracle

Databases deployed onto a private cloud infrastructure. When used with Oracle Enterprise

Manager, Oracle Diagnostics Pack also provides enterprise wide performance and availability

reporting, a centralized performance repository, and valuable cross-system performance

aggregation, significantly simplifying the task of managing large sets of databases across a private

cloud.

Oracle Tuning Pack is an extremely cost-effective and easy-to-use solution that automates the

entire application tuning process. Enhancement of SQL performance is achieved through real-

time monitoring and SQL advisors that are seamlessly integrated with Oracle Enterprise

Manager. Together they provide a comprehensive solution for automating the complex andtime- consuming task of application tuning.

Workload and Quality of Service Management

Oracle Database 11gprovides capabilities that allow workloads to be isolated to the databases

that are consolidated on a private cloud. Individual databases can be caged to run on specified

cores within a private cloud, allowing for dense consolidation. Within a database, different

application users can be mapped to database wide resource plans that govern how much

memory, CPU, and I/O bandwidth (on Oracle Exadata Database Machine) each user consumes,

making it easy to constrain resource usage in a shared environment.

Database Provisioning and Configuration Management

Oracle Provisioning and Patch Automation Pack automates the deployment of new databases to

the private cloud. Gold images can be defined for different types of database deployments, or

existing database environments can be cloned and then provisioned to a private database cloud

from a central management console. Once these standard configurations have been deployed, the

solution also identifies and downloads any required patches to keep the configurations up-to-

date with fixes to any reported issues.

Oracle Configuration Management Pack provides a simplified way to view the configurations of

all databases and related components across a private cloud. It can centrally define baselines for

these configurations, ensuring that the deployments do not deviate from the defined

configurations.

16


17/18


Conclusion

Consolidating databases onto a private cloud is a new model for the delivery of database services.

Private clouds consolidate servers, storage, operating systems, databases, and mixed workloadsonto a shared hardware and software infrastructure. Deploying databases on a consolidated

private cloud enables IT departments to improve quality of service levelsas measured in terms

of database performance, availability, and data securityand reduce capital and operating costs.

Consolidation can be achieved through server, operating system, and database consolidation, and

the higher the consolidation density achieved, the greater the return on investment.

Oracle Database 11gand Oracle Real Application Clusters enable all levels of consolidation, offering

IT departments a choice of private cloud deployment architectures. Oracle Database 11gand Oracle

Real Application Clusters are key software components of Oracle Exadata Database Machine, Oracle

Database Appliance and Oracle SPARC SuperCluster, making each an excellent private cloud

database consolidation platform. These solutions provide pre-integrated configurations of hardware

and software components engineered to work together, and optimized for different types of database

workloads. Choosing the best platform for your organization will be one of the key milestones in

your roadmap to realizing the benefits of Cloud Computing for your private databases.

17


18/18

White Paper Title

February 2011 v45

Author: Nitin Vengurlekar

Contributing Authors: Michael Timpanaro-

Perrotta, Mark Macdonald, Burt Clouse,Philip

Newlan

Oracle Corporation

World Headquarters

500 Oracle Parkway

Redwood Shores, CA 94065

U.S.A.

Worldwide Inquiries:

Phone: +1.650.506.7000

Fax: +1.650.506.7200

oracle.com

Copyright 2011, Oracle and/or its affiliates. All rights reserved. This document is provided for information purposes only and the

contents hereof are subject to change without notice. This document is not warranted to be error-free, nor subject to any other

warranties or conditions, whether expressed orally or implied in law, including implied warranties and conditions of merchantability or

fitness for a particular purpose. We specifically disclaim any liability with respect to this document and no contractual obligations are

formed either directly or indirectly by this document. This document may not be reproduced or transmitted in any form or by any

means, electronic or mechanical, for any purpose, without our prior written permission.

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

AMD, Opteron, the AMD logo, and the AMD Opteron logo are trademarks or registered trademarks of Advanced Micro Devices.

Intel and Intel Xeon are trademarks or registered trademarks of Intel Corporation. All SPARC trademarks are used under license

and are trademarks or registered trademarks of SPARC International, Inc. UNIX is a registered trademark licensed through X/Open

Company, Ltd. 1010
http:///reader/full/oracle.comhttp:///reader/full/oracle.com

database private cloud wp 360048

Documents